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» Subspace Models for Functional MRI Data Analysis
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FSS
2006
86views more  FSS 2006»
14 years 9 months ago
An omission approach for detecting outliers in fuzzy regression models
Since Tanaka et al. in 1982 proposed a study in linear regression with a fuzzy model, fuzzy regression analysis has been widely studied and applied in various areas. However, Tana...
Wen-Liang Hung, Miin-Shen Yang
ICCV
2007
IEEE
15 years 11 months ago
Population Shape Regression From Random Design Data
Regression analysis is a powerful tool for the study of changes in a dependent variable as a function of an independent regressor variable, and in particular it is applicable to t...
Bradley C. Davis, P. Thomas Fletcher, Elizabeth Bu...
EDBT
2004
ACM
230views Database» more  EDBT 2004»
15 years 10 months ago
Flexible Integration of Molecular-Biological Annotation Data: The GenMapper Approach
Molecular-biological annotation data is continuously being collected, curated and made accessible in numerous public data sources. Integration of this data is a major challenge in ...
Hong Hai Do, Erhard Rahm
VMCAI
2010
Springer
15 years 7 months ago
Shape Analysis with Reference Set Relations
Tracking subset relations between the contents containers on the heap is fundamental to modeling the semantics of many common programing idioms such as applying a function to a sub...
Mark Marron, Rupak Majumdar, Darko Stefanovic, Dee...
BMCBI
2006
164views more  BMCBI 2006»
14 years 10 months ago
Evaluation of clustering algorithms for gene expression data
Background: Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped togethe...
Susmita Datta, Somnath Datta